Insights and trends review: artificial intelligence in hand surgery

Author:

Miller Robert12ORCID,Farnebo Simon3,Horwitz Maxim D.1

Affiliation:

1. Department of Hand and Plastic surgery department, Chelsea and Westminster Hospital, London, UK

2. Fellow in Clinical Artificial Intelligence, The London Medical Imaging & AI Centre for Value Based Healthcare, London, UK

3. Department of Plastic Surgery, Hand Surgery, and Burns, Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden

Abstract

Artificial intelligence (AI) in hand surgery is an emerging and evolving field that will likely play a large role in the future care of our patients. However, there remain several challenges to makes this technology meaningful, acceptable and usable at scale. In this review article, we discuss basic concepts in AI, including challenges and key considerations, provide an update on how AI is being used in hand and wrist surgery and propose potential future applications. The aims are to equip clinicians and researchers with the basic knowledge needed to understand and explore the incorporation of AI in hand surgery within their own practice and recommends further reading to develop knowledge in this emerging field.

Publisher

SAGE Publications

Subject

Surgery

Reference49 articles.

1. The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database

2. A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma

3. Commentary: Predicting Clinically Relevant Patient-Reported Symptom Improvement After Carpal Tunnel Release: A Machine Learning Approach

4. Central Digital and Data Office & Office for Artificial Intelligence. Assessing if artificial intelligence is the right solution. Central Digital and Data Office & Office for Artificial Intelligence, 2019a. https://www.gov.uk/guidance/assessing-if-artificial-intelligence-is-the-right-solution (accessed 6 December 2022).

5. Central digital and Data Office & Office for Artificial Intelligence. A guide to using artificial intelligence in the public sector. Central digital and Data Office & Office for Artificial Intelligence, 2019b. https://www.gov.uk/government/collections/a-guide-to-using-artificial-intelligence-in-the-public-sector (accessed 6 December 2022).

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3